Hello dear developers,

I am currently doing an internship and learning about InterSystems IRIS and ObjectScript and have downloaded and installed the community version of IRIS.

I have not made any changes in the Management Portal.
In Visual Studio Code I have loaded the InterSystems ObjectScript Extension Pack.

If I now want to compile a file, VSC throws an error:
"ERROR #16006: Document name 'x.csp' is invalid"

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Interacting with Users in the Terminal: A Guide to Using %Library.Prompt in IRIS

Have you ever wondered how commands like ^DATABASE engage users in the terminal? Or perhaps you're writing an automation routine and want ways to specify options directly from the terminal. Thankfully, the %Library.Prompt class in IRIS offers a straightforward way to do so!

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Hello Everyone,

The Certification Team of InterSystems Learning Services is developing an InterSystems IRIS Developer Specialist certification exam, and we are reaching out to our community for feedback that will help us evaluate and establish the contents of this exam.

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Hi Developers,

Get an overview of InterSystems IRIS in the different roles in OAuth 2.0 and the configuration menus for those roles. Watch practical demos of InterSystems IRIS in those roles and see how they connect back to OAuth 2.0 concepts:

OAuth 2.0 in Practice with InterSystems Products @ Global Summit 2023

https://www.youtube.com/embed/4jAeztgR0Gs
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In this article we are going to see how we can use the WhatsApp instant messaging service from InterSystems IRIS to send messages to different recipients. To do this we must create and configure an account in Meta and configure a Business Operation to send the messages we want.

Let's look at each of these steps in more detail.

Setting up an account on Meta

This is possibly the most complicated point of the entire configuration, since we will have to configure a series of accounts until we can have the messaging functionality.

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Hi,

I'm having a few issues with keeping Ubuntu happy and stable, and it seems to be something at the OS level rather than within IRIS itself. My thought is to simply pare back the stuff that Ubuntu LTS runs by default, which will free up system resources (which really shouldn't be a problem, but it might help) and reduce the amount that can go wrong.

Are there any guides as to what can be safely disabled at boot time, or are required to be enabled?

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Introduction

Not so long ago, I came across the idea of using Python Class Definition Syntax to create IRIS classes on the InterSystems Ideas Portal. It caught my attention since integrating as many syntaxes as possible gives visibility to InterSystems’s products for programmers with experience in many languages.

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Hi all,

I'm very new to this ecosystem so please bear with me:

I've startted learning online and have installed everything I need. I have VS code and I have most definitely installed the pack (3 packages) needed for working on it with ObjectScript. Even though this is the case I'm running into 2 problems:

1. when I type "class" I only get 4 option for auto complete. no "class with multiple inheritances" or anything of the sort. In fact, no Class at all, only ClassMethod. ClassResponse etc.

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Hello everyone,

I am looking for the syntax or the way to use a class created in the "BNA" Namespace (my application) from the %SYS Namespace.

Here is the context:

I have a "BNA" application contained in the "BNA" NS, this application provides a user creation functionality. This feature creates both the user in a table in the application and in the Iris system.

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Hi folks!

Sometimes building an images via docker-compose.yml can take significant time.

And often after a minute or two of waiting it turns out that ports listed in docker-compose are busy and you need to start building process again with different ports or to turn down processes that took it.

Is there a way to check ports listed in docker-compose BEFORE starting the image baking process?

How do you deal with this problem?

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Hello Community,

SQL language remains the most practical way to retrieve information stored in a database.

The JSON format is very often used in data exchange.

It is therefore common to seek to obtain data in JSON format from SQL queries.

Below you will find simple examples that can help you meet this need using ObjectScript and Python code.

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Hi community.

I have an API that is deployed in my production (business service) and it calls to a business process to retrieve the information that is requested.

The problem that I have is that the calls are queued and it's creating a bottleneck

The business process is taking more time than needed.

Is possible to configure the BP to process parallely the requests?

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Is it possible to authenticate an xDBC (ODBC/JDBC) connection to InterSystems IRIS via (a 3rd party) OAuth server?

For REST APIs this is possible, but could this be achieved with OAuth?

Out-of-the-box the ODBC/JDBC Drivers don't seem to have this option, but maybe some custom code could enable this? perhaps via Delegated Authentication and some OAuth classes customization, or some other way?

Has anyone done this already and can share how it was implemented, or someone with some guideline suggestions?

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Do you ever spend an age entering criteria in the message viewer page, trying to find a message just to realise you're in the wrong instance of IRIS?

Or get lost in a sea of message tabs struggling to spot that Visual Trace page your were JUST looking at?

Well, have you tried the IRIS WHIZ browser extension and its suite of tools designed to help you avoid such unpleasantness?

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Hi community,

We have a developed a new version of a production, all the code is new and has changed BP. This application load information for some brands and stored in database.

The customer wants to implement the changes only for some brands because he wants to check for small brands before to implement for all brands.

My proposal is create a new namespace, with the new code, and disabled all load of brands except the brand that he wants to check.

I'm wondering what is the best way to clone the namespace.

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We have a yummy dataset with recipes written by multiple Reddit users, however most of the information is free text as the title or description of a post. Let's find out how we can very easily load the dataset, extract some features and analyze it using features from OpenAI large language model within Embedded Python and the Langchain framework.

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